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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Kursor Journal of ICT Research and Applications ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika EMITTER International Journal of Engineering Technology JOIV : International Journal on Informatics Visualization Jurnal Komputer Terapan INOVTEK POLBENG INTEK: Jurnal Penelitian J-Dinamika: Jurnal Pengabdian Kepada Masyarakat DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Mantik MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Jurnal Nasional Teknik Elektro dan Teknologi Informasi Publikasi Hasil Pengabdian Kepada Masyarakat. International Conference on Sciences Development and Technology Jurnal ELTEK Enrichment: Journal of Multidisciplinary Research and Development Jurnal Pengabdian Nasional (JPN) Indonesia Jurnal ELTEK The Indonesian Journal of Computer Science
Amang Sudarsono, Amang
Politeknik Elekronika Negeri Surabaya
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Journal : JOIV : International Journal on Informatics Visualization

 1 
Big Data Environment for Realtime Earthquake Data Acquisition and Visualization Louis Nashih Uluwan Arif; Ali Ridho Barakbah; Amang Sudarsono; Renovita Edelani
JOIV : International Journal on Informatics Visualization Vol 3, No 4 (2019)
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3512.439 KB) | DOI: 10.30630/joiv.3.4.320

Abstract

Indonesia is a country that has the highest level of earthquake risk in the world. In the past 10 years, there have been ± 90,000 earthquake events recorded and always increasing along with the explosion of earthquake data occurs at any time. The process of collecting and analyzing earthquake data requires more effort and takes a long computational time. In this paper, we propose a new system to acquire, store, manage and process earthquake data in Indonesia in real-time, fast and dynamic by utilizing features in the Big Data Environment. This system improves computational performance in the process of managing and analyzing earthquake data in Indonesia by combining and integrating earthquake data from several providers to form a complete unity of earthquake data. An additional function is the existence of an API (Application Programming Interface) embedded in this system to provide access to the results of earthquake data analysis such as density, probability density function and seismic data association between provinces in Indonesia. The process in this system has been carried out in parallel and improved computing performance. This is evidenced by the computational time in the preprocessing process on a single-core master node, which requires 55.6 minutes, but a distributed computing process using 15 cores can speeds up with only 4.82 minutes.
Evaluation of Joint Technique Iterative Clipping Filtering (ICF) and Neural Network Predistortion on SDR-based MIMO-OFDM System Gulo, Melki Mario; Astawa, I Gede Puja; Sudarsono, Amang; Moegiharto, Yoedy; Priambodo, Naufal Ammar; Gunawan, M. Wisnu
JOIV : International Journal on Informatics Visualization Vol 8, No 2 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.2.1981

Abstract

Multiple-input, multiple-output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) is a communications technology that powers numerous modern communication systems, including 5G and WiFi-6. This technology is utilized in current communication systems due to its high performance and extensive channel capacity. MIMO-OFDM does have disadvantages, such as large Peak-to-Average Power Ratio (PAPR) values. If the signal is processed by a nonlinear Power Amplifier (PA) device, a high PAPR value signal can result in both in-band and out-of-band signal distortion. To combat high PAPR values, PAPR reduction strategies such as Iterative Clipping Filtering (ICF) are utilized. From this study, using ICF with iteration 2 and Clipping Ratios (CR) 3 and 4 can improve the system's minimum Bit Error Rate (BER) by about 22.8% and 91.1%, respectively. Choosing the correct CR will improve the system, but using the lower CR will make it worse than a system without ICF. This occurs in systems using ICF with iterations two and CR 2 and at the same SNR conditions as systems without ICF; using ICF with iterations two and CR 2 results in higher BER values. The use of Predistortion Neural Network (PDNN) can overcome this problem. By using PDNN, there is an improvement in the system where the minimum BER value can reach 0.1 × 10-5. The percentage decrease in BER from using PDNN for ICF with iterations two and CR 2, 3, and 4 is 99.88%, 99.86%, and 98.807%, respectively. Thus, the joint techniques of ICF and PDNN can significantly enhance the performance of MIMO-OFDM systems with nonlinear PA. Importantly, the experiment was conducted on an SDR device, ensuring the real-world applicability of the results.
Co-Authors Abd. Rasyid Syamsuri Adam Surya Putra Adam Surya Putra Afifah Dwi Ramadhani agostinho marques ximenes Ahmad Zainudin Ali Ridho Barakbah Anang Budikarso Anang Budikarso, Anang Anang Siswanto Anang Siswanto Anang Siswanto, Anang Anindya Dwi Putri Islamidina Ari Wijayanti Ari Wijayanti Aries Pratiarso Aries Pratiarso Aries Pratiarso, Aries Astin, Novita Bambang Sumantri Bayu Dwiyan Satria Bih Hwang Lee Bima Sena Bayu Dewantara Choirun Nisa Dadet Pramadihanto Darmawan, Zakha Maisat Eka Dewi, Florista Dewi, Ni Made Lintang Asvini Dian Neipa Purnamasari Donny Farhan Eko Prayitno Farel Juliansyah Farhan, Donny Febby Ronaldo Fitri, Novi Aryani Florista Dewi Gulo, Melki Mario Gunawan, M. Wisnu Hadi, Mochammad Zen Samsono Haniah Mahmudah Hari Wahyuningrat S. Hary Oktavianto Haryadi Amran Hasan Basri Hasan Basri Hendy Briantoro Heru Iswanto Heru Iswanto, Heru Hidayah, Nuril Hudhajanto, Rizky Pratama I Gede Puja Astawa I Gede Puja Astawa I Gede Puja Astawa I Gede Puja Astawa I Gede Puja Astawa I Gede Puja Aswara Ida Anisah Idris Winarno Indah Yulia Prafitaning Tiyas Indah Yulia Prafitaning Tiyas, Indah Yulia Prafitaning Inka Trisna Dewi Ismed Jauhar Ismed Jauhar, Ismed Juliansyah, Farel Kevin Prima Pambudi Kevin Prima Pambudi, Kevin Prima Lordan Kimbal, Heaven Louis Nashih Uluwan Arif M Udin Harun Al Rasyid, M Udin Harun M. Cahyo Kriswantoro Mahardhika, Yesta Medya Mahmudah, Haniah Mala Nurilmala Mike Yuliana Mochammad Zen Samsono Hadi Mohamad Ridwan Muh Subhan Muh. Alfan Taufiqurrahman Muhammad Taufiq Sumadi Nanang Syahroni Ni Made Lintang Asvini Dewi Nihayatus Sa'adah Nihayatus Sa'adah Ningsih, Norma Novita Astin Nur Nur Adi Siswandari Nurul Fahmi Nurul Fahmi Nurul Fahmi Priambodo, Naufal Ammar Prima Kristalina Putra, Adam Surya Qoirul Setiawan Qoirul Setiawan, Qoirul R Rizki Rachmadi R. Gaguk Pratama Yudha Rafina Destiarti Ainul Rahardita Widyatra Ramadhani, Afifah Dwi Reni Soelistijorini Renovita Edelani Rini Satiti Rizky Pratama Hudhajanto Rokhmat Albasyih Samsul Huda Samsul Huda Santoso, Tribudi Saputro, Anton Cahyo Satiti, Rini Sa’adah, Nihayatus Soelistijorini, Reni Sritrusta Sukaridhoto Subhan, Muh Syahroni, Nanang Taufiqurrahman, Muh. Alfan Titon Dutono Tri Budi Santoso Tri Budi Santoso Tri Harsono TRI SUSANTI Tri Susanti Tribudi Santoso Vivien Arief Wardhany Wahjoe Tjatur Sesulihatien Wahyuningrat S., Hari Winarmo, Idris Ximenes, Agostinho Marques Yoedy Moegiharto, Yoedy Yoga Yuniadi Yudha, R. Gaguk Pratama Yuliana, Mike